AI ML Data Engineer with Python and LLM Framework Experience
AI ML Data Engineer with Python and LLM Framework Experience
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1 Vacancy
Job Description
Client Name: SANS
End Client Name: Morgan Stanley
Job Title: AI/ML Data Engineer with Python and LLM Framework Experience
Location: Alpharetta GA
Work Type: Hybrid (3 days onsite per week)
Job Type: Contract
Rate: $70-75/hour on w2
Updated LinkedIn needed
Notes:
- Interviews: 2 rounds (1 Zoom video interview and 1 in-person at the office)
- Visa Status: Any VISA status accepted (US Citizen GC H4-EAD)
- Please prioritize candidates with strong Python and AI/LLM experience
- In-person availability in Alpharetta is mandatory
(AI/ML Data Engineer with Python and exposure to LLM frameworks such as RAG and Vector Search):
The manager wrote:
In short we are looking for an AI Data Engineer with strong Python skill and experience in LLM frameworks (RAG and Vector Search). Proficiency with OpenAI integration is critical. Exposure to Kafka Snowflake and Elasticsearch is preferred. Experience working on creating AI insights from structured/semi-structured data is desired. Familiarity with RAG architecture for combining LLMs with enterprise data sources-Snowflake and prompt engineering-is a big plus.
Job Description:
We are seeking an AI/ML Data Engineer with strong Python skills and hands-on experience in LLM frameworks particularly Retrieval-Augmented Generation (RAG) and Vector Search. The ideal candidate should be comfortable integrating OpenAI APIs and should have previous experience generating AI-driven insights from structured or semi-structured data.
Roles and Responsibilities:
- Build and maintain AI pipelines using Python and LLM frameworks
- Develop solutions using RAG architecture and vector databases
- Integrate OpenAI models to deliver contextual AI insights
- Collaborate with enterprise data platforms such as Snowflake
- Work closely with business users and data teams to translate needs into technical solutions
Required Skills:
- Strong Python programming experience
- Proficiency with LLM frameworks including RAG and Vector Search
- Experience with OpenAI integration
- Familiarity with structured/semi-structured data processing
- Excellent communication and stakeholder collaboration skills
- Experience with Kafka Snowflake and Elasticsearch
- Familiarity with prompt engineering and advanced data pipeline design
- Prior work with enterprise-level AI solutions in financial services or large data-driven environments
Employment Type
Full-time
